Difference between revisions of "Blitvak Week 6"

Revision as of 21:30, 11 October 2015

Individual Journal Assignment Week 6

Downloading and Decompressing Data Files, Other Assignment Preparation

• Looking over the Week 6 Assignment Page, I found that curl -O http://www.fda.gov/downloads/Drugs/InformationOnDrugs/UCM054599.zip can be used, while I am in the /nfs/home/blitvak directory, to place a .zip containing the data files directly into my personal folder. I found that unzip UCM054599.zip unzips the files into the personal folder.
• I also downloaded and installed pgAdmin III from http://www.pgadmin.org/
• I spent some time reviewing the PostgreSQL Tutorial
• I booted up PuTTy and unzipped the files into my home folder

Working with application.txt

• I opened up and reviewed the application.txt and Product.txt files using more <filename.txt>; I found that the data column labels for application.txt are:

ApplNo  ApplType  SponsorApplicant  MostRecentLabelAvailableFlag  CurrentPatentFlag  ActionType  Chemical_Type  Ther_Potential  Orphan_Code

• Reviewing the actual data, and with PostgreSQL in mind, I found that the variable type for each column should be:

ApplNo: int(primary key)  ApplType: varchar  SponsorApplicant: varchar  MostRecentLabelAvailableFlag: boolean  CurrentPatentFlag: boolean  ActionType: varchar  Chemical_Type: int 
Ther_Potential: varchar  Orphan_Code: varchar          

• I realized that any empty data spaces in application.txt will have to be turned into null
• I realized that sed "1D" will have to be executed in order to remove the first row (which is column labeling)
• Referencing the Week 6 Assignment Page, I learned that the data within these text files is separated by tabs (\t) instead of commas
• I opened the file and decided to try to turn the tabs into commas using cat application.txt | sed "s/\t/,/g"
  • Adding onto that, I decided to get rid of the other spaces between the data by using sed -e "s/\s\{4,\}//g", which matches 4 whitespaces and removes them. This command was found in a StackExchange post.
• At this point, I noticed that many lines had extra commas either at the ends of the lines or in the middle, indicating missing or nonexistent values
  • I used sed "s/,,,\r$/,null,null,null/;s/,,\r$/,null,null/;s/,\r$/,null/1" | sed "s/,,/,null/;s/,,,/,null,null/g", along with what I already have, in order to turn any extra commas (missing values) into null
• My focus now turned to making sure that all data that was identified as being varchar has apostrophes wrapping around it.
  • Working with the ApplType data and my previous work, I used sed "s/......,/&'/1" | sed "s/'./&'/1" to surround it with apostrophes.
  • Working with the SponsorApplicant data, I added sed "s/',/&'/g" | sed "s/,./'&/3" to wrap apostrophes around the third data type in each line

For Product.txt, the column labels were:

Defining the appropriate tables for the Application and Product entities

Process the data files for these entities then load them into those tables

Questions Regarding Database Creation